RUS Copernicus will provide a full day hands-on training session where participants will access from their own laptop a Virtual Machine to exploit the open source software and toolboxes available in the RUS environment to download and process Sentinel-3 data.
Please note that the RUS Copernicus Virtual Machines used for this training course can only be provided to citizens/residents of the Copernicus programme member countries (EU plus Iceland and Norway).
The Sentinel-3 (S3) constellation is composed of two identical satellites: Sentinel-3A (S3A) and Sentinel-3B (S3B). The mission objectives are to quantify large-scale surface (both ocean and land) colour and temperature phenomena as well as to measure accurately the oceans and inland water bodies elevation. To fulfil these ambitious goals, each satellite carries three instruments: the Ocean and Land Colour Instrument (OLCI), the Sea and Land Surface Temperature Radiometer (SLSTR) and the Synthetic Aperture Radar Altimeter (SRAL). The data recorded by this pair of satellites is free of use and present a great interest to study our Earth surface.
This full day hands-on training session targets a beginner audience. It will focus on the processing of Sentinel-3 OLCI data to monitor both ocean and land surfaces. The SNAP and Panoply software will be used throughout the workshop.
After an introduction to the S3 mission and associated products, you will manipulate OLCI data to study particular use cases. First, you will learn to retrieve manually and automatically S3 products from different data hubs. Then, the course will demonstrate the extensive applications and advantages of using S3 OLCI data in different scientific and environmental fields. From detecting, mapping and tracking harmful sargassum rafts in the Caribbean Sea during June 2018 to monitoring ice and snow coverage in Iceland during June 2020, you will gain knowledge on powerful processing methods to retrieve large-scale key environmental parameters from S3 products.
Attendees must be in possession of their own computer with a microphone to follow the online training and will be provided with access to the RUS platform Virtual Machine.
Attendance to the training course is free of charge.
This training session is designed for a beginner audience, wishing to discover Sentinel-3 data download and processing. Space is limited to 25 participants on a first-come first-served basis.